Triple
T16378247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shardlake series |
E397731
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Barak
Barak is a tough, streetwise assistant and later close ally to Tudor lawyer-detective Matthew Shardlake in C. J. Sansom’s historical mystery series.
|
E1211002
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Barak | Statement: [Shardlake series, featuresCharacter, Barak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barak Context triple: [Shardlake series, featuresCharacter, Barak]
-
A.
Barak
Barak is a biblical military leader in the Book of Judges who, alongside the prophetess Deborah, led Israel to victory over the Canaanite commander Sisera.
-
B.
Avigdor
Avigdor is a Hebrew given name of biblical origin, traditionally used in Jewish communities.
-
C.
Natan
Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
-
D.
Ben-Tzvi
Ben-Tzvi is a transliterated form of the Hebrew surname "Ben-Zvi," most notably associated with Yitzhak Ben-Zvi, the second President of Israel.
-
E.
Benayahu
Benayahu is a kabbalistic and halachic work by the Sephardic sage Ben Ish Chai, offering mystical and ethical commentary on Talmudic passages.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Barak Triple: [Shardlake series, featuresCharacter, Barak]
Generated description
Barak is a tough, streetwise assistant and later close ally to Tudor lawyer-detective Matthew Shardlake in C. J. Sansom’s historical mystery series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barak Target entity description: Barak is a tough, streetwise assistant and later close ally to Tudor lawyer-detective Matthew Shardlake in C. J. Sansom’s historical mystery series.
-
A.
Barak
Barak is a biblical military leader in the Book of Judges who, alongside the prophetess Deborah, led Israel to victory over the Canaanite commander Sisera.
-
B.
Avigdor
Avigdor is a Hebrew given name of biblical origin, traditionally used in Jewish communities.
-
C.
Natan
Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
-
D.
Ben-Tzvi
Ben-Tzvi is a transliterated form of the Hebrew surname "Ben-Zvi," most notably associated with Yitzhak Ben-Zvi, the second President of Israel.
-
E.
Benayahu
Benayahu is a kabbalistic and halachic work by the Sephardic sage Ben Ish Chai, offering mystical and ethical commentary on Talmudic passages.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d97e00819094aa094f52a5a93e |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356658e881908131a3c60ed5499d |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00383a7180819092ea605aa8ef1672 |
completed | May 10, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00391645ac819092a06dc6813604fa |
completed | May 10, 2026, 7:51 a.m. |
Created at: April 10, 2026, 5:08 a.m.